Age Classification: Linear Model

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Presentation transcript:

Age Classification: Linear Model By: Morgan Ferguson Garrett Bingham Catherine Nansalo

Introduction to the Data FGNet-LOPO 82 People 47 men and 35 females 6 to 18 pictures each 1002 images total

b-vectors and age b1 - b 109 Shape! Mesh on image Positions of model points Texture comes from pixels How well does face structure predict age?

Linear Model

Results Model R^2 Mean Squared Error Age ~ b1 .000002 165.401 Age ~ b1 + b2 + … + b5 0.394 100.238 Age ~ b1 + b2 + … + b10 0.490 84.404 Age ~ b1 + b2 + … + b109 0.757 40.221